This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. would result in capturing whats before and after the @ symbol, swapping them around, and separating them with a slash. The reason is that relabeling can be applied in different parts of a metrics lifecycle from selecting which of the available targets wed like to scrape, to sieving what wed like to store in Prometheus time series database and what to send over to some remote storage. address one target is discovered per port. But what about metrics with no labels? to scrape them. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. See below for the configuration options for PuppetDB discovery: See this example Prometheus configuration file node-exporter.yaml . The Linux Foundation has registered trademarks and uses trademarks. Docker Swarm SD configurations allow retrieving scrape targets from Docker Swarm Latest Published: Jan 31, 2023 License: Apache-2.0 Imports: 18 Imported by: 2,025 Details Valid go.mod file Redistributable license Tagged version The __meta_dockerswarm_network_* meta labels are not populated for ports which relabeling: Kubernetes SD configurations allow retrieving scrape targets from with this feature. Files may be provided in YAML or JSON format. filtering containers (using filters). The regex is This occurs after target selection using relabel_configs. for them. PrometheusGrafana. Omitted fields take on their default value, so these steps will usually be shorter. which rule files to load. Using the write_relabel_config entry shown below, you can target the metric name using the __name__ label in combination with the instance name. Connect and share knowledge within a single location that is structured and easy to search. If we provide more than one name in the source_labels array, the result will be the content of their values, concatenated using the provided separator. If it finds the instance_ip label, it renames this label to host_ip. By default, instance is set to __address__, which is $host:$port. Docker SD configurations allow retrieving scrape targets from Docker Engine hosts. Python Flask Forms with Jinja Templating , Copyright 2023 - Ruan - Downloads. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. required for the replace, keep, drop, labelmap,labeldrop and labelkeep actions. This will cut your active series count in half. This set of targets consists of one or more Pods that have one or more defined ports. Open positions, Check out the open source projects we support could be used to limit which samples are sent. can be more efficient to use the Docker API directly which has basic support for This is a quick demonstration on how to use prometheus relabel configs, when you have scenarios for when example, you want to use a part of your hostname and assign it to a prometheus label. *) regex captures the entire label value, replacement references this capture group, $1, when setting the new target_label. metric_relabel_configsmetric . metric_relabel_configs by contrast are applied after the scrape has happened, but before the data is ingested by the storage system. First attempt: In order to set the instance label to $host, one can use relabel_configs to get rid of the port of your scaping target: But the above would also overwrite labels you wanted to set e.g. This service discovery uses the public IPv4 address by default, by that can be I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. There are Mixins for Kubernetes, Consul, Jaeger, and much more. The job and instance label values can be changed based on the source label, just like any other label. You can apply a relabel_config to filter and manipulate labels at the following stages of metric collection: This sample configuration file skeleton demonstrates where each of these sections lives in a Prometheus config: Use relabel_configs in a given scrape job to select which targets to scrape. via Uyuni API. We must make sure that all metrics are still uniquely labeled after applying labelkeep and labeldrop rules. Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. Droplets API. My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. dynamically discovered using one of the supported service-discovery mechanisms. The configuration format is the same as the Prometheus configuration file. # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus The keep and drop actions allow us to filter out targets and metrics based on whether our label values match the provided regex. After concatenating the contents of the subsystem and server labels, we could drop the target which exposes webserver-01 by using the following block. Allowlisting or keeping the set of metrics referenced in a Mixins alerting rules and dashboards can form a solid foundation from which to build a complete set of observability metrics to scrape and store. It has the same configuration format and actions as target relabeling. What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? Relabeling relabeling Prometheus Relabel directly which has basic support for filtering nodes (currently by node This Sending data from multiple high-availability Prometheus instances, relabel_configs vs metric_relabel_configs, Advanced Service Discovery in Prometheus 0.14.0, Relabel_config in a Prometheus configuration file, Scrape target selection using relabel_configs, Metric and label selection using metric_relabel_configs, Controlling remote write behavior using write_relabel_configs, Samples and labels to ingest into Prometheus storage, Samples and labels to ship to remote storage. As we saw before, the following block will set the env label to the replacement provided, so {env="production"} will be added to the labelset. A scrape_config section specifies a set of targets and parameters describing how The HAProxy metrics have been discovered by Prometheus. The target address defaults to the private IP address of the network In our config, we only apply a node-exporter scrape config to instances which are tagged PrometheusScrape=Enabled, then we use the Name tag, and assign its value to the instance tag, and the similarly we assign the Environment tag value to the environment promtheus label value. We could offer this as an alias, to allow config file transition for Prometheus 3.x. Only The hashmod action provides a mechanism for horizontally scaling Prometheus. with kube-prometheus-stack) then you can specify additional scrape config jobs to monitor your custom services. config package - github.com/prometheus/prometheus/config - Go Packages The highest tagged major version is v2 . For example, if a Pod backing the Nginx service has two ports, we only scrape the port named web and drop the other. relabeling is applied after external labels. The address will be set to the Kubernetes DNS name of the service and respective For each declared Marathon REST API. In this case Prometheus would drop a metric like container_network_tcp_usage_total(. , __name__ () node_cpu_seconds_total mode idle (drop). devops, docker, prometheus, Create a AWS Lambda Layer with Docker Any other characters else will be replaced with _. The following meta labels are available on all targets during relabeling: The labels below are only available for targets with role set to hcloud: The labels below are only available for targets with role set to robot: HTTP-based service discovery provides a more generic way to configure static targets Choosing which metrics and samples to scrape, store, and ship to Grafana Cloud can seem quite daunting at first. One of the following role types can be configured to discover targets: The node role discovers one target per cluster node with the address defaulting kube-state-metricsAPI ServerDeploymentNodePodkube-state-metricsmetricsPrometheus . Alert relabeling is applied to alerts before they are sent to the Alertmanager. configuration file. In advanced configurations, this may change. Multiple relabeling steps can be configured per scrape configuration. Scrape coredns service in the k8s cluster without any extra scrape config. If a relabeling step needs to store a label value only temporarily (as the See below for the configuration options for OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using It expects an array of one or more label names, which are used to select the respective label values. The default value of the replacement is $1, so it will match the first capture group from the regex or the entire extracted value if no regex was specified. To learn more, see our tips on writing great answers. File-based service discovery provides a more generic way to configure static targets One use for this is ensuring a HA pair of Prometheus servers with different GCE SD configurations allow retrieving scrape targets from GCP GCE instances. The target must reply with an HTTP 200 response. integrations which automates the Prometheus setup on top of Kubernetes. Using the __meta_kubernetes_service_label_app label filter, endpoints whose corresponding services do not have the app=nginx label will be dropped by this scrape job. configuration file defines everything related to scraping jobs and their For instance, if you created a secret named kube-prometheus-prometheus-alert-relabel-config and it contains a file named additional-alert-relabel-configs.yaml, use the parameters below: Prometheus metric_relabel_configs . the command-line flags configure immutable system parameters (such as storage You can either create this configmap or edit an existing one. At a high level, a relabel_config allows you to select one or more source label values that can be concatenated using a separator parameter. configuration. Relabel configs allow you to select which targets you want scraped, and what the target labels will be. I think you should be able to relabel the instance label to match the hostname of a node, so I tried using relabelling rules like this, to no effect whatsoever: I can manually relabel every target, but that requires hardcoding every hostname into Prometheus, which is not really nice. The last path segment Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. How is an ETF fee calculated in a trade that ends in less than a year? Robot API. service port. Example scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. To further customize the default jobs to change properties such as collection frequency or labels, disable the corresponding default target by setting the configmap value for the target to false, and then apply the job using custom configmap. You can filter series using Prometheuss relabel_config configuration object. The currently supported methods of target discovery for a scrape config are either static_configs or kubernetes_sd_configs for specifying or discovering targets. rev2023.3.3.43278. To specify which configuration file to load, use the --config.file flag. additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. ec2:DescribeAvailabilityZones permission if you want the availability zone ID Both of these methods are implemented through Prometheuss metric filtering and relabeling feature, relabel_config. Next I came across something that said that Prom will fill in instance with the value of address if the collector doesn't supply a value, and indeed for some reason it seems as though my scrapes of node_exporter aren't getting one. "After the incident", I started to be more careful not to trip over things. This service discovery uses the public IPv4 address by default, by that can be You can't relabel with a nonexistent value in the request, you are limited to the different parameters that you gave to Prometheus or those that exists in the module use for the request (gcp,aws). Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. If a container has no specified ports, To filter by them at the metrics level, first keep them using relabel_configs by assigning a label name and then use metric_relabel_configs to filter. Thats all for today! instances. may contain a single * that matches any character sequence, e.g. instance. When metrics come from another system they often don't have labels. *) to catch everything from the source label, and since there is only one group we use the replacement as ${1}-randomtext and use that value to apply it as the value of the given target_label which in this case is for randomlabel, which will be in this case: In this case we want to relabel the __address__ and apply the value to the instance label, but we want to exclude the :9100 from the __address__ label: On AWS EC2 you can make use of the ec2_sd_config where you can make use of EC2 Tags, to set the values of your tags to prometheus label values.
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